Literature DB >> 31449890

Revamping the evolutionary theories of aging.

Adiv A Johnson1, Maxim N Shokhirev2, Boris Shoshitaishvili3.   

Abstract

Radical lifespan disparities exist in the animal kingdom. While the ocean quahog can survive for half a millennium, the mayfly survives for less than 48 h. The evolutionary theories of aging seek to explain why such stark longevity differences exist and why a deleterious process like aging evolved. The classical mutation accumulation, antagonistic pleiotropy, and disposable soma theories predict that increased extrinsic mortality should select for the evolution of shorter lifespans and vice versa. Most experimental and comparative field studies conform to this prediction. Indeed, animals with extreme longevity (e.g., Greenland shark, bowhead whale, giant tortoise, vestimentiferan tubeworms) typically experience minimal predation. However, data from guppies, nematodes, and computational models show that increased extrinsic mortality can sometimes lead to longer evolved lifespans. The existence of theoretically immortal animals that experience extrinsic mortality - like planarian flatworms, panther worms, and hydra - further challenges classical assumptions. Octopuses pose another puzzle by exhibiting short lifespans and an uncanny intelligence, the latter of which is often associated with longevity and reduced extrinsic mortality. The evolutionary response to extrinsic mortality is likely dependent on multiple interacting factors in the organism, population, and ecology, including food availability, population density, reproductive cost, age-mortality interactions, and the mortality source.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antagonistic pleiotropy; Disposable soma; Evolution of aging; Extrinsic mortality; Lifespan; Mutation accumulation

Mesh:

Year:  2019        PMID: 31449890     DOI: 10.1016/j.arr.2019.100947

Source DB:  PubMed          Journal:  Ageing Res Rev        ISSN: 1568-1637            Impact factor:   10.895


  9 in total

1.  Healthy Long-Lived Human Beings-Working on Life Stages to Break the Limitation of Human Lifespans.

Authors:  Weikuan Gu
Journal:  Biology (Basel)       Date:  2022-04-24

2.  Proteomics in Non-model Organisms: A New Analytical Frontier.

Authors:  Michelle Heck; Benjamin A Neely
Journal:  J Proteome Res       Date:  2020-08-20       Impact factor: 4.466

Review 3.  Nontraditional systems in aging research: an update.

Authors:  Justyna Mikuła-Pietrasik; Martyna Pakuła; Małgorzata Markowska; Paweł Uruski; Ludwina Szczepaniak-Chicheł; Andrzej Tykarski; Krzysztof Książek
Journal:  Cell Mol Life Sci       Date:  2020-10-09       Impact factor: 9.261

4.  Data mining of human plasma proteins generates a multitude of highly predictive aging clocks that reflect different aspects of aging.

Authors:  Benoit Lehallier; Maxim N Shokhirev; Tony Wyss-Coray; Adiv A Johnson
Journal:  Aging Cell       Date:  2020-10-08       Impact factor: 9.304

5.  Aging at Evolutionary Crossroads: Longitudinal Gene Co-expression Network Analyses of Proximal and Ultimate Causes of Aging in Bats.

Authors:  Guillaume Bernard; Jérôme Teulière; Philippe Lopez; Eduardo Corel; François-Joseph Lapointe; Eric Bapteste
Journal:  Mol Biol Evol       Date:  2022-01-07       Impact factor: 16.240

Review 6.  Fundamental Clock of Biological Aging: Convergence of Molecular, Neurodegenerative, Cognitive and Psychiatric Pathways: Non-Equilibrium Thermodynamics Meet Psychology.

Authors:  Victor V Dyakin; Nuka V Dyakina-Fagnano; Laura B Mcintire; Vladimir N Uversky
Journal:  Int J Mol Sci       Date:  2021-12-28       Impact factor: 5.923

7.  Palaeohistology reveals a slow pace of life for the dwarfed Sicilian elephant.

Authors:  Meike Köhler; Victoria Herridge; Carmen Nacarino-Meneses; Josep Fortuny; Blanca Moncunill-Solé; Antonietta Rosso; Rossana Sanfilippo; Maria Rita Palombo; Salvador Moyà-Solà
Journal:  Sci Rep       Date:  2021-11-24       Impact factor: 4.379

Review 8.  Evolution, Chance, and Aging.

Authors:  Stewart Frankel; Blanka Rogina
Journal:  Front Genet       Date:  2021-09-09       Impact factor: 4.599

Review 9.  Alternative Animal Models of Aging Research.

Authors:  Susanne Holtze; Ekaterina Gorshkova; Stan Braude; Alessandro Cellerino; Philip Dammann; Thomas B Hildebrandt; Andreas Hoeflich; Steve Hoffmann; Philipp Koch; Eva Terzibasi Tozzini; Maxim Skulachev; Vladimir P Skulachev; Arne Sahm
Journal:  Front Mol Biosci       Date:  2021-05-17
  9 in total

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